Digging high risk defects out in software engineering

Abstract

Data mining implies "digging through tons of data" to uncover implicit information. Software defect is an essential characteristic of software development process, offering much information about software quality assurance. Based on the information supplied by defects, it can help a software team with capability of software quality assurance. In order to dig through lots of defects to uncover implicit information of defects, this paper integrates PCA and DA, combined with the relationship among each defect attribute index, and then we can dig critical factor out of software defects. These critical factors are the vital few defects affecting software quality, warning programmer to stress concentration on getting rid of these vital few defects.